{ "version": "https://jsonfeed.org/version/1", "title": "Algolia Changelog Changelog", "home_page_url": "https://changelog.algolia.com", "icon": "https://announcekit.app/images/empty-avatar.jpg", "items": [ { "id": "440099", "content_html": "

Algolia CLI v1.8.1 introduces updates that improve automation, security, and AI agent interoperability from the terminal. New capabilities include schema introspection with algolia describe, structured JSON and NDJSON output, expanded dry-run validation for mutation commands, OAuth PKCE authentication with scoped user permissions, and input validation for malformed control characters. The release also adds crawler authentication through the dashboard with algolia auth crawler and a new compositions command group for managing compositions and composition rules directly from the CLI. These updates help developers and AI agents interact with Algolia more safely, predictably, and efficiently in automated workflows. Click here to learn more.

", "url": "https://changelog.algolia.com/algolia-cli-adds-ai-agent-support-and-safer-automation-workflows-EyayI", "title": "Algolia CLI Adds AI Agent Support and Safer Automation Workflows", "summary": "Algolia CLI v1.8.1 introduces updates that improve automation, security, and AI agent interoperability from the terminal. New capabilities i...", "date_modified": "2026-05-20T18:44:25.524Z", "tags": [ "Enhancement", "Gen AI" ] }, { "id": "439357", "content_html": "

NeuralSearch now learns query intent directly from customer engagement data. Rather than relying solely on semantic interpretation, search queries are matched against patterns derived from real clicks and conversions - so brand names, niche terminology, and ambiguous queries return results grounded in what your customers actually engage with. Coverage improves automatically over time as engagement data accumulates, with standard semantic search as a seamless fallback for queries not yet learned. Click here to learn more.

", "url": "https://changelog.algolia.com/search-results-that-adapt-to-what-users-actually-want-183CWk", "title": "Search Results That Adapt to What Users Actually Want", "summary": "NeuralSearch now learns query intent directly from customer engagement data. Rather than relying solely on semantic interpretation, search q...", "date_modified": "2026-05-08T19:51:51.152Z", "tags": [ "Enhancement", "AI Search" ] }, { "id": "439061", "content_html": "

Virtual replicas are now supported directly in the Shopify integration sort configuration UI. Merchants can select attributes and choose between standard and virtual replicas without manual setup. This eliminates the need for custom JavaScript, duplicate indices, and complex workflows previously required to manage sorting. The update reduces application size, simplifies configuration within Shopify, and removes a key blocker for teams managing large catalogs or storage limits. Click here to learn more.

", "url": "https://changelog.algolia.com/simplify-sorting-with-native-virtual-replica-support-oDx4Y", "title": "Simplify Sorting With Native Virtual Replica Support", "summary": "Virtual replicas are now supported directly in the Shopify integration sort configuration UI. Merchants can select attributes and choose bet...", "date_modified": "2026-05-04T16:39:03.971Z", "tags": [ "Enhancement", "E-Commerce Platform Integrations" ] }, { "id": "439060", "content_html": "

The Shopify integration now supports dynamic ruleContexts on collection and search pages, allowing merchandising rules to adapt based on context such as traffic source, campaign, or season. This enables different experiences for the same collection without modifying underlying data. Merchants can apply rules like pinning, boosting, filtering, or banners per context. This update removes reliance on deprecated APIs and provides more flexible, targeted merchandising control across storefront experiences. Click here to learn more.

", "url": "https://changelog.algolia.com/control-collection-page-merchandising-with-dynamic-contexts-nv8yI", "title": "Control Collection Page Merchandising With Dynamic Contexts", "summary": "The Shopify integration now supports dynamic ruleContexts on collection and search pages, allowing merchandising rules to adapt based on con...", "date_modified": "2026-05-04T16:37:20.912Z", "tags": [ "Enhancement", "E-Commerce Platform Integrations" ] }, { "id": "439059", "content_html": "

The Shopify integration now supports indexing metaobjects, enabling rich and reusable content such as size guides, store locations, and brand stories to be searchable and filterable in Algolia. Configuration is managed directly in the Shopify plugin, including selecting metaobject types, fields, and transformations. Updates sync automatically via webhooks, ensuring records stay current without manual reindexing. This reduces the need for custom pipelines or workarounds while enriching search results with structured content. Click here to learn more.

", "url": "https://changelog.algolia.com/make-shopify-metaobjects-searchable-in-algolia-mmK2s", "title": "Make Shopify Metaobjects Searchable in Algolia", "summary": "The Shopify integration now supports indexing metaobjects, enabling rich and reusable content such as size guides, store locations, and bran...", "date_modified": "2026-05-04T16:34:55.008Z", "tags": [ "New Feature", "E-Commerce Platform Integrations" ] }, { "id": "438920", "content_html": "

Safety Controls in Agent Studio introduce guardrails for deploying agents in production. Configure global and per-IP rate limits to handle spikes, set limits on tokens, steps, and conversation depth to manage cost, and restrict access using domain allowlists. This helps prevent abuse, reduce unexpected spend, and ensure agents are only accessible from approved environments.

", "url": "https://changelog.algolia.com/control-agent-cost-usage-and-access-in-agent-studio-2vcJRC", "title": "Control Agent Cost, Usage, and Access in Agent Studio", "summary": "Safety Controls in Agent Studio introduce guardrails for deploying agents in production. Configure global and per-IP rate limits to handle s...", "date_modified": "2026-04-30T18:41:09.610Z", "tags": [ "New Feature", "Gen AI" ] }, { "id": "439582", "content_html": "

Rule Tags introduce a flexible categorization system for organizing rules at scale, available in the Algolia dashboard and Merchandising Studio. Tags can be created, edited, and applied to rules individually or in bulk, then used to filter the rules list. Teams managing large rule libraries can now group rules by campaign, owner, or function to improve discoverability and coordinate cleanup.


", "url": "https://changelog.algolia.com/streamline-rule-management-at-scale-with-rule-tags-yRDRm", "title": "Streamline Rule Management at Scale With Rule Tags", "summary": "Rule Tags introduce a flexible categorization system for organizing rules at scale, available in the Algolia dashboard and Merchandising Stu...", "date_modified": "2026-04-30T18:17:09.000Z", "tags": [ "New Feature", "Merchandising", "Dashboard" ] }, { "id": "438918", "content_html": "

The Algolia Productivity MCP now supports Claude Code, Cursor, VS Code, Gemini CLI, and Codex. Developers can connect to Algolia (via Dashboard OAuth) directly from their preferred Al coding environment and query Algolia without switching context. Each AI assistant is recognised by the MCP and matched against a redirect URI, without needing to enter a Client ID. Click here to learn more.

", "url": "https://changelog.algolia.com/productivity-mcp-now-supports-more-ai-developer-tools-2sVWP6", "title": "Productivity MCP Now Supports More AI Developer Tools", "summary": "The Algolia Productivity MCP now supports Claude Code, Cursor, VS Code, Gemini CLI, and Codex. Developers can connect to Algolia (via Dashbo...", "date_modified": "2026-04-29T18:31:48.000Z", "tags": [ "Enhancement", "Beta", "Gen AI" ] }, { "id": "438917", "content_html": "

Agent Studio now includes a dedicated search settings panel, letting teams configure search parameters specifically for their agents - separate from existing index settings. Defaults (hits per page, controlled attributes, facets) are set based on evaluation findings and applied automatically when connecting a new index. All settings are fully customizable.


", "url": "https://changelog.algolia.com/agent-specific-search-settings-now-available-in-agent-studio-2rNyiQ", "title": "Agent-Specific Search Settings Now Available in Agent Studio", "summary": "Agent Studio now includes a dedicated search settings panel, letting teams configure search parameters specifically for their agents - separ...", "date_modified": "2026-04-29T18:29:28.000Z", "tags": [ "Enhancement", "Beta", "Gen AI" ] }, { "id": "438916", "content_html": "

Agent Studio's search tool has been upgraded with improved relevance, faster response times, and reduced cost per query. Agents now benefit from more accurate, context-aware results across a wider range of query types. AI-generated tool descriptions also help agents select and invoke the right search tool at the right time, improving overall agent reasoning quality.

", "url": "https://changelog.algolia.com/improved-search-tool-with-new-capabilities-for-agent-studio-agents-2qF9MA", "title": "Improved Search Tool With New Capabilities for Agent Studio Agents", "summary": "Agent Studio's search tool has been upgraded with improved relevance, faster response times, and reduced cost per query. Agents now benefit ...", "date_modified": "2026-04-29T18:25:31.000Z", "tags": [ "Enhancement", "Beta", "Gen AI" ] }, { "id": "438915", "content_html": "

A new Guardrails configuration in the Safety Controls tab allows defining custom categories to filter harmful or off-topic content across input, output, or both. Each category includes a description, examples, and an optional fallback response, helping teams control how agents handle sensitive or irrelevant queries. This improves response quality, reduces risk, and ensures interactions stay aligned with the intended use case. Click here to learn more.


", "url": "https://changelog.algolia.com/configure-custom-guardrails-to-filter-agent-input-and-output-2pwLgk", "title": "Configure Custom Guardrails to Filter Agent Input and Output", "summary": "A new Guardrails configuration in the Safety Controls tab allows defining custom categories to filter harmful or off-topic content across in...", "date_modified": "2026-04-28T18:20:00.000Z", "tags": [ "New Feature", "Beta", "Gen AI" ] }, { "id": "438750", "content_html": "

The Agent Studio widget search bar now features an AI mode button and context-aware prompt suggestions. As shoppers type, relevant suggested prompts appear that transition them directly into the chat experience with a single click. The AI mode button provides a persistent, prominent entry point from search to natural language conversation, reducing friction for users moving between search and chat.


", "url": "https://changelog.algolia.com/ai-mode-and-prompt-suggestions-now-available-in-the-search-bar-44QtyM", "title": "AI Mode and Prompt Suggestions Now Available in the Search Bar", "summary": "The Agent Studio widget search bar now features an AI mode button and context-aware prompt suggestions. As shoppers type, relevant suggested...", "date_modified": "2026-04-28T18:11:08.531Z", "tags": [ "New Feature", "Beta", "API & Libraries", "Gen AI" ] }, { "id": "438749", "content_html": "

Agent Studio now includes a dedicated Getting Started page and Quick Setup flow for agents. A guided configuration wizard covers data source selection, prompt configuration, entry points, prompt suggestions, conversation features, and safety controls in a single flow. Pre-configured agent templates are available to reduce setup time and accelerate time to first deployment.


", "url": "https://changelog.algolia.com/get-shopping-agents-live-faster-with-quick-setup-in-agent-studio-43I52w", "title": "Get Shopping Agents Live Faster With Quick Setup in Agent Studio", "summary": "Agent Studio now includes a dedicated Getting Started page and Quick Setup flow for agents. A guided configuration wizard covers data source...", "date_modified": "2026-04-28T18:05:56.493Z", "tags": [ "Enhancement", "Beta", "Gen AI" ] }, { "id": "438919", "content_html": "

NeuralSearch users can now adjust the similarity score cutoff for NeuralSearch results based on the strength of the top match. Rather than applying a fixed threshold across all queries, the filter scales dynamically - returning broader results when top matches are highly relevant and narrowing results when match quality is lower. This improves result precision, reduces irrelevant results surfacing to end users, and eliminates the need for manual threshold configuration per index. Click here to learn more.


", "url": "https://changelog.algolia.com/control-the-precision-recall-tradeoff-for-neuralsearch-2u4llm", "title": "Control the Precision-Recall Tradeoff for NeuralSearch", "summary": "NeuralSearch users can now adjust the similarity score cutoff for NeuralSearch results based on the strength of the top match. Rather than a...", "date_modified": "2026-04-23T18:34:50.000Z", "tags": [ "Enhancement", "AI Search" ] }, { "id": "437720", "content_html": "

Optional filters now work with virtual replicas, enabling boosting or burying of specific results after sorting. Previously limited to standard replicas, this capability extends advanced relevance tuning to virtual replica configurations without requiring additional replica indices. Search teams can now apply promotion and demotion strategies across all sorting configurations, combining the efficiency of virtual replicas with fine-grained relevance control. Click here to learn more.

", "url": "https://changelog.algolia.com/refine-ranking-in-virtual-replicas-with-optional-filters-3Y10f6", "title": "Refine Ranking in Virtual Replicas with Optional Filters", "summary": "Optional filters now work with virtual replicas, enabling boosting or burying of specific results after sorting. Previously limited to stand...", "date_modified": "2026-04-06T22:44:09.000Z", "tags": [ "New Feature", "AI Search" ] }, { "id": "437575", "content_html": "

Agent Studio introduces dynamic search parameter passing for more flexible retrieval, along with new analytics for conversation depth and user feedback. It adds DeepSeek support, thread depth controls via API, new templates, and expanded feedback APIs and UI components. DocSearch now supports Agent Studio capabilities, helping improve customization, visibility, and control over AI experiences.


", "url": "https://changelog.algolia.com/improve-agent-studio-with-search-analytics-and-feedback-tools-1jnENG", "title": "Improve Agent Studio with search, analytics, and feedback tools", "summary": "Agent Studio introduces dynamic search parameter passing for more flexible retrieval, along with new analytics for conversation depth and us...", "date_modified": "2026-04-01T00:54:53.000Z", "tags": [ "Enhancement", "AI Search", "Gen AI" ] }, { "id": "437574", "content_html": "

AIgolia Assist can now fetch a read-only index configuration when generating responses. This allows customers to receive advice from Assist that is tailored to their specific application. Increasing the context available to Assist reduces manual effort required to clarify the details of your situation and makes it more likely responses get it right on the first try. We will show the retrieved settings in Assist to help users verify. 


", "url": "https://changelog.algolia.com/improved-aigolia-assist-accuracy-with-live-configuration-context-1ifghq", "title": "Improved AIgolia Assist accuracy with live configuration context", "summary": "AIgolia Assist can now fetch a read-only index configuration when generating responses. This allows customers to receive advice from Assist ...", "date_modified": "2026-03-17T00:50:30.000Z", "tags": [ "Enhancement", "Beta" ] }, { "id": "436463", "content_html": "

InstantSearch iOS 8.0 is now compatible with the latest Algolia Swift client 9.x. This update includes the required migration and dependency upgrades to align with breaking changes introduced in Swift client 9.x. It restores compatibility for iOS developers adopting the latest Swift stack and enables support for conversion event subtypes used in revenue analytics, helping teams access enhanced analytics capabilities while maintaining long-term maintainability. Click here to learn more.

", "url": "https://changelog.algolia.com/instantsearch-ios-8.0-adds-support-for-algolia-swift-client-9.x-4o6IXS", "title": "InstantSearch iOS 8.0 adds support for Algolia Swift client 9.x", "summary": "InstantSearch iOS 8.0 is now compatible with the latest Algolia Swift client 9.x. This update includes the required migration and dependency...", "date_modified": "2026-03-11T21:07:28.000Z", "tags": [ "Enhancement", "API & Libraries" ] }, { "id": "435228", "content_html": "

Recommend analytics delivers clear visibility into how recommendation models perform across the site. Track clicks, conversions, revenue, and purchase rates for each model within the existing Recommend workflow. Built-in performance dashboards make it easier to quantify impact, optimize placements, and drive measurable growth towards your business goals. Click here to learn more.


", "url": "https://changelog.algolia.com/measure-and-prove-the-impact-of-every-recommendation-wwaZi", "title": "Measure and Prove the Impact of Every Recommendation", "summary": "Recommend analytics delivers clear visibility into how recommendation models perform across the site. Track clicks, conversions, revenue, an...", "date_modified": "2026-03-02T17:07:51.881Z", "tags": [ "New Feature", "Recommend" ] }, { "id": "434524", "content_html": "

InstantSearch Android has been updated to support the latest Algolia Kotlin client and the Ktor 3.x framework. This update addresses compatibility gaps introduced by recent ecosystem changes and ensures InstantSearch Android works with modern Kotlin stacks. By aligning with current dependencies, this improvement removes upgrade blockers for Android developers, supports long-term maintainability, and enables continued adoption of newer Kotlin and Ktor versions without relying on workarounds. Click here to learn more.

", "url": "https://changelog.algolia.com/instantsearch-android-now-supports-the-latest-kotlin-client-and-ktor-3.x-1HaF8I", "title": "InstantSearch Android now supports the latest Kotlin client and Ktor 3.x", "summary": "InstantSearch Android has been updated to support the latest Algolia Kotlin client and the Ktor 3.x framework. This update addresses compati...", "date_modified": "2026-02-11T23:46:35.000Z", "tags": [ "Enhancement", "API & Libraries" ] } ] }